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DeepSeek VL2 Tiny vs Phi 4
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek VL2 Tiny supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 days newer
Phi 4
Microsoft
2024-12-12
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek VL2 Tiny
Average Score:32.7%(+0.9%)
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Phi 4
Average Score:31.8%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Phi 4
1 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:32.7%(+0.9%)
Providers:0
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Phi 4
Avg Score:31.8%
Providers:1